Polymorphisms in the GHRL gene and their associations with traits of economic interest in beef cattle

Braz, Camila Urbano; Camargo, Gregório Miguel Ferreira de; Cardoso, Diércles Francisco; Gil, Fernanda Maria Monsalves; Fonseca, P. D. S.; Cyrillo, J. N. S. G.; Mercadante, Maria Eugênia Zerlotti; Oliveira, Henrique Nunes de; Tonhati, Humberto

doi:10.4238/2015.december.23.6

Cited by 7 publications

(6 citation statements)

References 27 publications

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“…However, polymorphism at the ghrelin gene locus is potentially associated with carcass and meat quality traits in beef cattle. 94 Collectively, this data support the hypothesis that the skeletal muscle functions in maintaining homeostasis in the body as a secretary organ through a cross-talk with at least adipose tissue, bone and nerves in physio pathological conditions. Whether our dataset may contain novel putative myokines involved in regulating body composition has to be further considered in the context of livestock cattle production.…”

Section: Mapping Of the Secretome Specific To Muscles In Ruminantssupporting

confidence: 76%

Integrated data mining of transcriptomic and proteomic datasets to predict the secretome of adipose tissue and muscle in ruminants

2016

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Adipose tissue and muscle are endocrine organs releasing signalling and mediator proteins termed adipokines and myokines, enabling functioning of the organism and its adaption to a wide range of different challenges such as starvation, overfeeding, stress and diseases. They also contribute to the "adipose-muscular" cross-talk for an integrated control of body mass composition. This article integrates transcriptomic and proteomic data available in ruminant species (mainly in bovine, and when available in ovine and caprine) to computationally predict the large-scale secretome of adipose tissues and muscles. For this purpose predictive bioinformatics algorithms were employed to identify proteins putatively secreted by tissues thanks to a signal peptide. We predicted 1749 secreted proteins that were found from adipose tissues and muscles, more than a half of them being already declared as secreted proteins in public repositories. We also identified 188 and 357 proteins in the predictive secretome of adipose tissues and muscles respectively, only a minor part (3-11%) of them being reported in the overlap of public repositories used for comparison. Functional analysis of these proteins highlights their involvement in biological pathways known to sustain tissue growth and functioning. This strategy allowed us to identify some known and putative novel adipomyokines, adipokines and myokines. However their role and their expression signature depending on rearing practices remain largely to be explored.

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Section: Mapping Of the Secretome Specific To Muscles In Ruminantssupporting

confidence: 76%

Integrated data mining of transcriptomic and proteomic datasets to predict the secretome of adipose tissue and muscle in ruminants

2016

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“…Members of the PI3K-Akt signaling pathway were enriched amongst cattle with a larger eye muscle area and also affected their intramuscular fatty acid content [89,90]. Several genes that function in cellular proliferation and cell division were part of pathways in cancer, including GHRL (Ghrelin and obestatin Prepropeptide), polymorphisms which are associated with growth and economically important traits in beef cattle [91,92].…”

Section: Ecm Receptor Interaction Pi3k-akt Signaling and Pathways Imentioning

confidence: 99%

A Gene-Set Enrichment and Protein–Protein Interaction Network-Based GWAS with Regulatory SNPs Identifies Candidate Genes and Pathways Associated with Carcass Traits in Hanwoo Cattle

Srikanth

Lee

Chung³

et al. 2020

Genes

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Non-synonymous SNPs and protein coding SNPs within the promoter region of genes (regulatory SNPs) might have a significant effect on carcass traits. Imputed sequence level data of 10,215 Hanwoo bulls, annotated and filtered to include only regulatory SNPs (450,062 SNPs), were used in a genome-wide association study (GWAS) to identify loci associated with backfat thickness (BFT), carcass weight (CWT), eye muscle area (EMA), and marbling score (MS). A total of 15, 176, and 1 SNPs were found to be significantly associated (p < 1.11 × 10 −7 ) with BFT, CWT, and EMA, respectively. The significant loci were BTA4 (CWT), BTA6 (CWT), BTA14 (CWT and EMA), and BTA19 (BFT). BayesR estimated that 1.1%~1.9% of the SNPs contributed to more than 0.01% of the phenotypic variance. So, the GWAS was complemented by a gene-set enrichment (GSEA) and protein-protein interaction network (PPIN) analysis in identifying the pathways affecting carcass traits. At p < 0.005 (~2,261 SNPs), 25 GO and 18 KEGG categories, including calcium signaling, cell proliferation, and folate biosynthesis, were found to be enriched through GSEA. The PPIN analysis showed enrichment for 81 candidate genes involved in various pathways, including the PI3K-AKT, calcium, and FoxO signaling pathways. Our finding provides insight into the effects of regulatory SNPs on carcass traits.Genes 2020, 11, 316 2 of 22 and eye muscle area (EMA) [4]. Though substantial improvement in carcass and meat quality have been achieved, due to market requirement for higher quality, and for improving the economic value of Hanwoo, continuous improvement of economically important trait is required [5,6]. A genome-wide association study (GWAS) is an affordable and powerful tool to discover candidate genes and loci associated with quantitative traits [7]. GWASs in livestock, including in Hanwoo [8][9][10][11], have resulted in remarkable insights into the genetic architecture of carcass traits. Genetic variation in complex traits such as carcass and meat quality traits are, however, due to the contribution of many mutations with small effects [1,12] (polygenic effect). Though some of these mutations have been successfully identified through GWASs, the high significance thresholds required to correct for the multiple testing problem results in the identification of only SNPs with a large effect size [7,12]. Further, a GWAS does not make use of the fact that genes work together in a network, and multi-allelic QTL might not be captured due to the bi-allelic nature of SNPs [13]. Moreover, epistasis is an important genetic component underlying phenotypic variation that also accounts for missing heritability [14]. Therefore, a GWAS alone might result in only limited understanding of the nature of complex traits [13]. Suggested solutions to overcome this limitation and understand the genetic complexities regulating complex traits are to complement a GWAS with gene-set enrichment, a protein-protein interaction network (PPIN), and pathway analyses [15][16][17][18]. In GSEA and pathway analysis, a g...

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“…Recent study results suggested that SNPs of the ghrelin gene can be used in the breeding program as selection markers for economically important traits (e.g. meat quality) in livestock animals such as poultry (Kaczor et al, 2017), cattle (Braz et al, 2015;Zhang et al, 2009) and pigs (Wojtysiak and Kaczor, 2011;Dong et al 2022). Additionally, porcine polymorphisms (g.253G>A, c.-93A>G, g.4486C>T, g.4428T>C, g.31C>T) of the ghrelin gene were previously found in Polish pig breeds and described by Ropka-Molik et al (2011) but until now no research has been done on their relationship to slaughter traits.…”

Section: Discussionmentioning

confidence: 99%

Association of ghrelin gene polymorphisms with slaughter traits in pig

Tyra

Ropka‐Molik

Piórkowska

et al. 2023

Annals of Animal Science

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It has been hypothesized that mutations in the ghrelin gene in pigs may play a similar role as in humans and may be associated with obesity. The aim of study was to analyse the polymorphisms of ghrelin gene and to evaluate its effect on pigs’ carcass traits. The effect of c.-93A>G, 4428T>C and g.4486C>T polymorphisms at the ghrelin gene on slaughter performance were analysed in 346 gilts represented by three breeds (Polish Landrace, Duroc, Pietrain). Animals were fattened from 30 to 100 (±2.5) kg body weight. After slaughter, the carcasses were chilled for 24 hours (4ºC), weighted and the right half-carcasses were dissected and evaluated. A number of data were obtained including: meat weight in primary cuts, weight of ham, backfat thickness and carcass yield. From breeding and production point of view, the favourable results were obtained for pigs with the GG genotype at the c.-93A>G locus, characterized by better carcass results than those with the AA genotype, e.g. higher ham weight and lower average backfat thickness. In pigs with the TT genotype at the g.4428T>C locus, we found lower mean backfat thickness than pigs with the CC genotype.

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Polymorphisms in the GHRL gene and their associations with traits of economic interest in beef cattle

Cited by 7 publications

References 27 publications

Integrated data mining of transcriptomic and proteomic datasets to predict the secretome of adipose tissue and muscle in ruminants

Integrated data mining of transcriptomic and proteomic datasets to predict the secretome of adipose tissue and muscle in ruminants

A Gene-Set Enrichment and Protein–Protein Interaction Network-Based GWAS with Regulatory SNPs Identifies Candidate Genes and Pathways Associated with Carcass Traits in Hanwoo Cattle

Association of ghrelin gene polymorphisms with slaughter traits in pig

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